Pool

Python Multiprocessing Pool: The Complete Guide

August 26, 2022 by Jason Brownlee in Pool

The Python Multiprocessing Pool class allows you to create and manage process pools in Python. Although the Multiprocessing Pool has been available …

August 25, 2022 by Jason Brownlee in Pool

You can achieve full parallelism in Python with the multiprocessing pool, side-stepping the GIL. In this tutorial you will discover the …

August 24, 2022 by Jason Brownlee in Pool

Child worker processes in the multiprocessing pool will be restarted automatically if killed. In this tutorial you will discover what happens if a …

August 23, 2022 by Jason Brownlee in Pool

Child worker processes are started automatically after creating an instance of the multiprocessing.Pool class. In this tutorial you will discover …

August 22, 2022 by Jason Brownlee in Pool

The multiprocessing pool will be closed automatically by the Python garbage collector, if required. It will not prevent the main process from …

August 21, 2022 by Jason Brownlee in Pool

You can read the PEP for the multiprocessing module and Python release changelogs in order to learn the history of the multiprocessing pool. In …

August 20, 2022 by Jason Brownlee in Pool

You can execute tasks in batches using the “chunksize” argument when using the Pool map() method. In this tutorial you will discover the chunksize …

August 19, 2022 by Jason Brownlee in Pool

You can report the number of remaining tasks in the multiprocessing pool with Pool.apply_async() and a busy-wait loop, or via the …

August 18, 2022 by Jason Brownlee in Pool

You can get results from tasks in the multiprocessing pool using a callback or by calling AsyncResult.get(). In this tutorial you will discover how …